Shiwen Ni

According to our database, Shiwen Ni authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding.

Shiwen Ni, Hung-Yu Kao

IEEE Trans. Artif. Intell., February, 2024

EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection.

Jiawen Li, Ronghui Li, Shiwen Ni, Hung-Yu Kao

Neurocomputing, January, 2024

DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding.

Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao

IEEE ACM Trans. Audio Speech Lang. Process., 2024

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang

CoRR, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan

CoRR, 2024

Layer-wise Regularized Dropout for Neural Language Models.

Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu

CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.

Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang

CoRR, 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang

CoRR, 2024

2023

KPT++: Refined knowledgeable prompt tuning for few-shot text classification.

Shiwen Ni, Hung-Yu Kao

Knowl. Based Syst., 2023

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models.

Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

CoRR, 2023

2022

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Sensors, 2022

ELECTRA is a Zero-Shot Learner, Too.

Shiwen Ni, Hung-Yu Kao

CoRR, 2022

R-AT: Regularized Adversarial Training for Natural Language Understanding.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Rumor Detection on Social Media with Hierarchical Adversarial Training.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

CoRR, 2021

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

CoRR, 2021

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

IEEE Access, 2021

True or False: Does the Deep Learning Model Learn to Detect Rumors?

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection.

Jiawen Li, Shiwen Ni, Hung-Yu Kao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection.

Jiawen Li, Shiwen Ni, Hung-Yu Kao

IEEE Access, 2020

PSForest: Improving Deep Forest via Feature Pooling and Error Screening.

Shiwen Ni, Hung-Yu Kao

Proceedings of The 12th Asian Conference on Machine Learning, 2020